Electromagnetic (EM) modeling and simulation of the Magnetic Resonance Imaging (MRI) scanner environment

Closed Solicitation Posted

Solicitation number
75F40124Q00377
Agency
Responses due
Set-aside
No set-aside

Opportunity facts

NAICS code
513210 Software Publishers
Place of performance
Silver Spring, Maryland, United States

Notice details come from SAM.gov. Updated .

About this opportunity

The Department of Health and Human Services' Food and Drug Administration Office of Acquisition and Grant Services is seeking to procure electromagnetic (EM) modeling and simulation software to assess the safety and efficacy of magnetic resonance imaging (MRI) scanners. The key requirements include EM modeling and simulation software that can operate in a CAD environment, use various modeling techniques, provide thermal analysis, and be compatible with Windows 10. The contractor must be an authorized reseller/servicing agent of the software and provide a one-year warranty. Quotes are due by July 18, 2024, and the contract will be awarded on a lowest price technically acceptable basis.

This is a full and open competition with no set-aside designation. The North American Industry Classification System (NAICS) code is 513210 - Software Publishers with a $47 million small business size standard. The total contract value is estimated at up to $136,800 for a 1-year base period plus four 1-year option periods. The place of performance is Silver Spring, MD.

Notice text

The procurement is a software – electromagnetic (EM) modeling and simulation of the Magnetic Resonance Imaging (MRI) scanner environment to assess the safety patients and efficacy of the equipment. Patients with implantable medical devices are now being routinely allowed to go under MRI examinations and the implants pose risks for patients ranging from heating, burn, mechanical force, torque and vibrations that are extremely dangerous to patients and medical personal working under and with the MRI scanners. By using the EM modeling software these adverse effects can be accurately predicted and prevented.

Files

File Type Posted
BNJ.pdf PDF
RFQ No. 75F40124Q00377 FEKO EM Modeling .pdf PDF

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